---
title: 'AI Data Readiness Lead at Deepgram'
canonical: 'https://feeny.ai/job/ai-data-readiness-lead-deepgram-united-states-6jtn75s3fyd1'
type: 'job'
last_seen: '2026-09-13'
---

# AI Data Readiness Lead at Deepgram

- **Company:** Deepgram
- **Location:** United States
- **Compensation:** $165k–$220k
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-09-08
- **Last confirmed live:** 2026-09-13
- **Apply:** https://jobs.ashbyhq.com/deepgram/85ec0b9c-f675-4191-85e4-7e70d61c4d89

## Job description

Company Overview Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.

Company Operating Rhythm At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance. Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do. Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.

## About the role

Analytics is only as trustworthy as the definitions underneath it. As more reporting and decision-making moves to AI agents, the cost of ambiguous or conflicting metric definitions compounds, an agent applies the wrong rule confidently, at scale, and nobody catches it. This role exists to prevent that. You will own what our numbers mean, make those definitions enforceable in the systems that serve them, and verify that both people and agents are using them. This is a governance-first role with real technical depth. You will spend your time defining, implementing, and validating, building pipelines and developing agentic reporting are secondary.

## What you'll work on

Own the metric registry. Establish canonical definitions for the metrics the business runs on. Where competing versions exist, convene the owners, document the disagreement, and drive to a decision. Publish changes with a clear statement of what moves and why. Make definitions enforceable. Implement agreed definitions in the semantic layer and data catalog so they are applied by the system rather than described in a document. Retire superseded versions. Reduce the surface area. Audit the reporting estate, retire assets with no audience, and establish ownership for what remains. Build data quality checks/agents. Freshness, uniqueness, referential integrity, and cross-system reconciliation — with failures routed to named owners/agents who act on them. Verify AI agents. Maintain an inventory of agents accessing company data and the definitions each relies on. Evaluate agent output against known-correct answers and track accuracy, refusal, and error rates. Enable self-serve. Make governed data accessible and trustworthy for people querying it directly or through AI tools.

## Qualifications

- 5+ years in analytics, analytics engineering, or a closely related field
- Strong SQL, including comfort reverse-engineering undocumented transformation logic written by others
- Direct ownership of a semantic or metrics layer in production — dbt, Cube, LookML, or equivalent. Not just usage: responsibility for what went into it and why
- Demonstrated ability to resolve conflicting metric definitions across functions and land a decision
- Clear written communication. Most of your output is documentation others must trust without re-deriving it
- Comfort deprecating and removing work that others built
- Experience evaluating LLM or AI agent output against ground truth
- Experience developing or contributing to a data catalog and/or lineage tooling

## Nice to have

- Experience with lakehouse architectures, Iceberg, Athena, Trino, or similar
- Exposure to audit readiness, SOX, or financial controls environments
- Consumption or usage-based business models, where committed, consumed, invoiced, and recognised revenue are genuinely different numbers
- Having joined a function early, before process existed

Notice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @[deepgram.com](http://deepgram.com) email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.

## About Deepgram

## Company Overview
- **One-liner**: Deepgram is a foundational AI company building real-time voice AI infrastructure for developers and enterprises to power speech-to-text, text-to-speech, and voice agent applications.
- **Entity Type**: Private (Series C, Unicorn status)
- **Headquarters**: San Francisco, California, USA (remote-first, distributed across 20+ states and 5+ countries)
- **Founded**: 2015
- **Founders**: Scott Stephenson (CEO), Adam Sypniewski, Noah Shutty

## Core Business
- **Primary industry**: Voice AI / Artificial Intelligence / Speech Recognition
- **Target customers**: Developers, product teams, enterprises, and platforms embedding voice AI (B2B, B2D)
- **Mission statement**: To transform the way humans interact with machines by unlocking the productivity of the world through voice technology

## Products & Services
- **Speech-to-Text (STT)**: Real-time and batch transcription with models like Nova-3 (world’s most accurate real-time STT) and Flux Multilingual (first conversational STT in 10 languages). Available via cloud or self-hosted. [deepgram.com](https://deepgram.com/)
- **Text-to-Speech (TTS)**: Aura-2, professional-grade enterprise TTS for natural voice output. [deepgram.com](https://deepgram.com/)
- **Voice Agent API**: A unified API that combines STT, TTS, and LLM orchestration into a single endpoint, reducing complexity, latency, and cost for building conversational AI agents. [deepgram.com](https://deepgram.com/)
- **Custom Models**: Ability to train custom speech models for unique use cases and domain-specific vocabulary. [deepgram.com](https://deepgram.com/)
- **Saga (Voice OS)**: An operating system for voice applications, announced as a platform-level offering. [linkedin.com](https://www.linkedin.com/company/deepgram)
- **Deepgram for Restaurants**: Vertical solution for drive-thru and restaurant voice ordering (95%+ containment), powered by the acquisition of OfOne. [linkedin.com](https://www.linkedin.com/company/deepgram)

## Market Standing
- **Valuation**: $1.3 billion unicorn status (as of Series C in 2024) [deepgram.com](https://deepgram.com/about)
- **Key Metric**: $130 million in Series C funding (total raised: ~$202M+ including $72M Series B) [deepgram.com](https://deepgram.com/about)
- **Notable Investors/Partners**: Y Combinator, NVIDIA (proud partner), with Series C led by prominent venture firms [ycombinator.com](https://www.ycombinator.com/companies/deepgram)
- **Growth Signals**: Processed 50,000+ years of audio and 1 trillion+ words; trusted by 200,000+ developers and 1,300+ organizations; acquired OfOne for restaurant voice AI; launched Flux Multilingual, Nova-3, Aura-2, and Saga in rapid succession [linkedin.com](https://www.linkedin.com/company/deepgram)

## Competitive Advantages
- **Foundational AI moat**: Deepgram is a research-driven company that builds its own end-to-end deep learning models (not wrappers), giving them control over accuracy, latency, and cost.
- **Unified API advantage**: A single Voice Agent API that replaces the need to stitch together separate STT, TTS, and LLM components—reducing complexity and latency.
- **Scale and experience**: The most experienced voice AI platform in the world, having processed the largest volume of voice data (50,000+ years of audio).
- **Enterprise-grade reliability**: Offers on-premise/self-hosted deployment options for compliance-heavy industries (healthcare, finance, legal).
- **NVIDIA partnership**: Access to scalable GPU infrastructure for training and inference, differentiating them from competitors.

## Strategic Focus
- **Voice AI Economy leadership**: Positioning Deepgram as the infrastructure layer for the emerging "trillion-dollar Voice AI economy."
- **Multilingual expansion**: Launching Flux Multilingual to capture global markets beyond English.
- **Vertical industry penetration**: Moving beyond horizontal API into vertical solutions (restaurants via OfOne acquisition, medical transcription).
- **Agentic AI**: Doubling down on Voice Agent API and autonomous voice agents as the next growth vector.
- **Platform expansion**: Building Saga (Voice OS) to become the operating system for all voice applications.

## Why Work Here
- **Remote-first culture**: Deepgram is a remote-first company with employees across 20+ states in the US and 5+ countries. They offer freedom and flexibility to work from anywhere. [deepgram.com](https://deepgram.com/careers)
- **Strong benefits package**: Medical, dental, vision insurance; mental health support; unlimited PTO; 12 paid US holidays; parental leave; 401(k) with company match; wellness stipend; learning/education stipend; quarterly productivity stipend; one-time office upgrade stipend. [deepgram.com](https://deepgram.com/careers)
- **Inclusive environment**: Active Employee Resource Groups (ERGs) and a stated commitment to "every voice, heard and understood." [deepgram.com](https://deepgram.com/careers)
- **Annual offsites**: While remote-first, the company convenes annually for in-person offsites to foster collaboration and connection. [deepgram.com](https://deepgram.com/careers)
- **Engineering culture**: Values include "be curious," "grow together," "do the right thing," "think smart, act fast," and "put the customer first." The culture is described as self-motivated, positive, passionate, and competitive. [deepgram.com](https://deepgram.com/careers)
- **Research-driven environment**: Deepgram was founded by physicists and maintains a strong research team (Research Scientist, Research Engineer roles), offering the chance to work on cutting-edge AI. [ycombinator.com](https://www.ycombinator.com/companies/deepgram)
- **Salary transparency**: Publicly lists salary ranges for roles (e.g., Research Scientist $150K-$250K, SDR $50K-$60K), indicating compensation transparency. [ycombinator.com](https://www.ycombinator.com/companies/deepgram)

## Sources
1. [deepgram.com - Careers Page](https://deepgram.com/careers)
2. [deepgram.com - Product Page](https://deepgram.com/)
3. [deepgram.com - About Page](https://deepgram.com/about)
4. [ycombinator.com - Deepgram Profile](https://www.ycombinator.com/companies/deepgram)
5. [linkedin.com - Deepgram Company Page](https://www.linkedin.com/company/deepgram)

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